Papers
65
Total Citations
563
H-Index
11
About
Zixing Cai is a robotics and control systems researcher whose work has made significant contributions to mobile robot navigation, motion control, and fault diagnosis. His research spans cooperative multi-robot systems, wheeled mobile robot (WMR) dynamics, and intelligent control algorithms, establishing him as a productive voice in autonomous systems engineering. Cai's most influential work, a 2002 study on cooperative coevolutionary adaptive genetic algorithms for multi-robot path planning (87 citations), demonstrated how evolutionary computation could elegantly address the coordination challenges inherent in multi-agent robotic systems. His 2009 paper on moving horizon H∞ tracking control for WMRs with actuator saturation (74 citations) addressed the practical engineering challenge of robust control under real-world hardware constraints and external disturbances. A recurring theme throughout Cai's career is fault detection and diagnosis for mobile robots. He pioneered the use of adaptive and multiple particle filters for identifying both known and unknown faults in robot dead-reckoning systems, publishing several notable contributions between 2005 and 2014. His additional work on fuzzy immune PID controllers, unmanned vehicle kinematics, and mine rescue robot localization further reflects the breadth of his contributions to intelligent autonomous systems research.
Research Focus
Key Achievements
Top Papers
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- 5An adaptive particle filter for soft fault compensation of mobile robots17 citations · 2008
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- 7Kinematics model of unmanned driving vehicle13 citations · 2010
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- 9Non-smooth environment modeling and global path planning for mobile robots12 citations · 2003
- 10Scene recognition for mine rescue robot localization based on vision12 citations · 2008